Write a function formula for g using the function f.g(x)=Write a function formula for f using the function g.f(x)=

Answer:

3

Step-by-step explanation:

Answer:

The answer is 3 :)

Step-by-step explanation:

Answer:

0

Step-by-step explanation:

The slope is given by

m=(y2-y1)/(x2-x1)

  = (3 - 3)/(8 - -2)

   = 0/((8+2)

   =0/10

_______________________________

Hey!!

Solution,

P(-2,3)---------(X1,y1)

Q(8,3)----------(x2,y2)

Slope=y2-y1/x2-x1

=3-3/8-(-2)

=0/8+2

=0/10

=0

The answer is 0.

Hope it helps

Good luck on your assignment

____________________________

Answer:

B A library could have less than 12 computers.

D All libraries must have less than 35 computers.

E At least 1 library does bot have 12 computers.

(a) The range is 19.

(b) The interquartile range is 9.

(c) The sample variance is 31.

(d) The sample standard deviation is 6.

(e) The range is 32.

The ranges for the box plots are the same, but their interquartile ranges are different

The standard deviation of the sampling distribution of the sample proportion is commonly used when you're sampling from a large population and the sampling is done with replacement.

It represents the variability of sample proportions you would expect to obtain if you repeated the sampling process many times.

Standard Deviation of Sampling Distribution of Sample Proportion = \(\sqrt{(p * (1 - p)) / n)}\)

Where,

p is the true proportion of the characteristic you're interested in within the population.

n is the sample size.

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Answer:a

Step-by-step explanation:

no me aparec e nada lo siento

Step-by-step explanation:

future value of annuity after 1 year is:

$122× $4.0909=$499.089

=$499.09

The two ants could be 32 metres apart. This is because the diagonal length of the room is the square root of the sum of the squares of the length, width and height, which is 18.7 m.

The two ants could be 32 metres apart. This is because the room is cuboid-shaped and has a length of 16 m, a width of 11 m and a height of 4 m. The diagonal length of the room is the square root of the sum of the squares of the length, width and height, which is 18.7 m. This means that the two ants could be 18.7 m apart in each of the two directions, giving a total distance of 37.4 m. Since the room is cuboid-shaped, however, the furthest the two ants could be is 32 m. This is because the longest distance between any two points in a cuboid is the diagonal length of the cuboid, which in this case is 18.7 m. In other words, the two ants could not be more than 18.7 m apart in any one direction, giving a total distance of 37.4 m. However, since the room is cuboid-shaped, the furthest the two ants could be is 32 m.

Length of the room (l) = 16 m

Width of the room (w) = 11 m

Height of the room (h) = 4 m

Diagonal length of the room (d) = √\((l^2 + w^2 + h^2)\) = √(16^2 + 11^2 + 4^2)\((16^2 + 11^2 + 4^2)\) = √453 = 18.7 m

The two ants could be 18.7 m apart in each of the two directions, giving a total distance of 37.4 m.

However, since the room is cuboid-shaped, the longest distance between any two points in the room is its diagonal length, which is 18.7 m.

Therefore, the furthest the two ants could be is 18.7 m, which occurs when they are positioned at opposite corners of the room.

The maximum distance between the two ants is the diagonal length of a face of the cuboid, which is √\((l^2 + w^2)\) = √\((16^2 + 11^2)\) = √377 = 19.4 m

Therefore, the maximum distance between the two ants is 2 * 19.4 = 38.8 m, which is greater than the diagonal length of the room, but it is not physically possible since it would require the ants to be positioned outside the boundaries of the room.

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The process of breaking down a complex argument or problem into smaller, more manageable components is known as "analysis" or "analytical reasoning."

This approach allows us to examine the various parts of a complex issue individually, facilitating a deeper understanding and easier solution finding.

Analytical reasoning involves dissecting a problem or argument into its constituent elements, identifying relationships between them, and evaluating their individual roles and contributions. By breaking down the problem, we can focus on each component separately, which can lead to clearer insights and more effective problem-solving strategies.

This method of analysis is commonly used across various disciplines, including mathematics, science, philosophy, and critical thinking. It helps us understand complex phenomena, solve intricate equations, and make informed decisions based on careful examination.

The benefits of breaking down a big argument or problem into smaller components are manifold. It helps to identify patterns, uncover hidden relationships, and clarify any ambiguities or misconceptions. By addressing each component individually, we can apply specific strategies or methods that are relevant to that particular element, making the problem more approachable and manageable.

Overall, The process of breaking down a complex argument or problem into smaller, more manageable components is known as "analysis" or "analytical reasoning." It enables us to grasp intricate concepts, develop logical reasoning, and arrive at well-structured and comprehensive solutions.

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fifijfjgjgfghj

Step-by-step explanation:

Answer:

We need to see the graph to help you

Step-by-step explanation:

Answer:

i dont know do it yourself chump

Step-by-step explanation:

Answer:

what is the figure my guy

Step-by-step explanation: blah blah blah math blah blah blah

Answer:

B. 6

Step-by-step explanation:

3/4 can be added to itsef to be 6/8

6/8

----      6/1   = 6

1/8

Answer:

Step-by-step explanation:

tbh i don't know how to explain it but i feel like its D i multiply and add

Using the formula they gave us:

Cost of shipping = 2.79 + 0.38(8)

Cost of shipping = 2.79 + 3.04

Cost of shipping = 5.83(currency unit)

The Cox-Ross-Rubinstein (CRR) model is a mathematical model used in finance to evaluate the potential future value of an asset or portfolio. The model is based on the concept of a binomial tree.

A binomial tree is a mathematical model used in finance to estimate the probable future value of an asset or portfolio. The notion of a binomial, a mathematical expression with two potential outcomes, forms the foundation of the model. In a binomial tree, the future value of the asset is defined by two potential outcomes at each time step: a "upper" element and a down factor. The underlying variables that affect the asset, such as interest rates and market circumstances, dictate the up and down components. Reflecting This enables investors to assess the advantages and dangers of a possible investment and come to wise judgments.

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Step-by-step explanation:

\( \frac{ - 21}{3} - \frac{11}{2} \)

\( \frac{ - 21 \times 2 - 11 \times 3}{6} \)

\( \frac{ - 42 - 33}{6} \)

\( \frac{ - 75}{6} \)

\(12.5\)

Answer:

4n

Step-by-step explanation:

1. -7n-5n= -2n

2. -2n + 6= 4n

Answer:

-2 + 6

Step-by-step explanation:

Hopefully I helped :) Sorry if i didn't atleast i tried !

To determine how many cakes per day Kate should order for this week, we can calculate the expected profit for each possible daily order quantity and choose the one that maximizes profit.

(a) Here are the steps:
1. Calculate the profit for each possible demand, considering the cost of cakes ($10) and the selling price ($18).
2. Multiply the profit by the probability of each demand level.
3. Sum up the expected profits for all demand levels. Doing these calculations for all possible order quantities (1 to 6 cakes), we find that ordering 4 cakes per day maximizes the expected profit for this week.
(b) If the number of cakes next week depends on the number of leftovers at the end of this week, it will not change the estimate for this week. The reason is that we are still maximizing expected profit for this week, and any leftover cakes can be incorporated into next week's order.
(c) If leftover cakes can't be sold later and are dumped at the end of the day, we need to adjust the profit calculations. We still want to maximize the expected profit, but now we have to subtract the cost of unsold cakes. When we redo the calculations with this new information, the optimal order quantity might change, depending on the probabilities and profit margins.
(d) If day-old cakes sell for $12 and two-day-old cakes are donated, we need to adjust our profit calculations again. In this case, we have different selling prices for fresh cakes ($18), day-old cakes ($12), and two-day-old cakes ($0). Using these new prices, we can recalculate the expected profit for each order quantity and choose the one that maximizes the profit.

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a. Kate should order 4 cakes per week taking into consideration the uncertainty of demands.

b. The best strategy is still to order 4 cakes per day for this week and adjust the order for next week based on the leftovers.

c. Kate should order 3 cakes per day for this week to minimize waste.

d. the profit margins change if, day-old cakes sell for $12 and two-day-old cakes are donated.

a. To determine how many cakes per day Kate should order for this week, we need to estimate the number that maximizes her profit while minimizing the risk of having leftover cakes.

We can do this by calculating the expected profit for each possible order quantity and selecting the one that gives the highest profit.
We can calculate the number of cakes by following the steps
1. Multiply the daily demand by its probability, then sum these products to get the expected daily demand:

(1 * .1) + (2 * .2) + (3 * .25) + (4 * .25) + (5 * .15) + (6 * .05) = 3.4 cakes
2. Test different order quantities (from 1 to 6) and calculate the expected profit for each quantity.
3. Select the order quantity with the highest expected profit.

For this problem, Kate should order 4 cakes per day for this week.

b. If the number of cakes next week depends on the number of leftovers at the end of this week, the best strategy is still to order 4 cakes per day for this week and adjust the order for next week based on the leftovers.

c. If leftover cakes can't be sold later and are just dumped at the end of the day, we would want to minimize the risk of leftovers. In this case, Kate should order 3 cakes per day for this week to minimize waste while still maintaining a good probability of selling most of the cakes.

d. If day-old cakes sell for $12 and two-day-old cakes are donated, the profit margins change, and the expected profit calculation should be updated accordingly.

After recalculating, Kate should still order 4 cakes per day for this week, as the order quantity provides the highest expected profit with this new pricing structure.

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Answer:

b) 9

Step-by-step explanation:

Given that,

→ A = -3

Then the value of A² will be,

→ (-3)² = 9

Hence, option (b) is correct.

Answer: x= 11 43/45 or decimal form x=-11.9

Step-by-step explanation:

12(8-4×)+3×=634

You start by

12x(4x)+3x=634

48x+3x=634

51x=634

634 divided 51=12.431372549

X=12.431372549

Answer:

D.

Step-by-step explanation:

The buoy sank a total of 11 2/3

The function represents the difference h(x) is x^2+7x.

You know that the area of Rectangle A is given by

\(f(x) = 4x^2 + 6x\)

And the area of Rectangle B is given by

\(g(x) = 3x^2 - x\)

Therefore, to find the function representing the difference, you need to subtract the functions f(x) and g(x).

The way in which two things are being compared is not the same or the fact of not being the same.

Then, you get this function h(x)

\(h(x)=f(x)-g(x)\\h(x)=4x^2 + 6x-(3x^2 - x)\\h(x)=4x^2+6x-3x^2+x\\h(x)=x^2+7x\)

Therefore the function represents the difference h(x) is x^2+7x.

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Answer: D

Step-by-step explanation:

Answer:

C

Step-by-step explanation:

Becuase 5^5^7^8=666

Main Answer:For a binomial random variable, x, with n = 25 and p = .4,  p(6 ≤ x ≤ 12) = p2 - p1 is the easiest manner.

Supporting Question and Answer:

What is the easiest way to calculate the probability p(6 ≤ x ≤ 12) for a binomial random variable with n = 25 and p = 0.4?

The easiest way to calculate this probability is by using a statistical software or calculator with a built-in function for the binomial distribution.

Body of the Solution:To evaluate the probability p(6 ≤ x ≤ 12) for a binomial random variable with n = 25 and p = 0.4, we can use the cumulative distribution function (CDF) of the binomial distribution.

The easiest way to calculate this probability is by utilizing a statistical software or a calculator with a binomial distribution function. However, if you prefer a manual calculation, we can approximate the probability using the normal approximation to the binomial distribution.

Calculate the mean and standard deviation of the binomial distribution:

μ = n× p

= 25 × 0.4

= 10

σ =\(\sqrt{(n p (1 - p)) }\)

= \(\sqrt{(25 *0.4 * 0.6)}\)

≈ 2.236

To apply the normal approximation, we need to standardize the range 6 ≤ x ≤ 12 by converting it to the corresponding range in a standard normal distribution:

z1 = (6 - μ) / σ

z2 = (12 - μ) / σ

Look up the corresponding probabilities associated with the standardized values from a standard normal distribution table or use a calculator. For z1 and z2, you will find the probabilities p1 and p2, respectively.

The desired probability p(6 ≤ x ≤ 12) can be approximated by taking the difference between p1 and p2: p(6 ≤ x ≤ 12) ≈ p2 - p1

Final Answer:Therefore,the desired probability p(6 ≤ x ≤ 12) can be approximated by taking the difference between p1 and p2: p(6 ≤ x ≤ 12) ≈ p2 - p1

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For a binomial random variable, x, with n = 25 and p = .4,  p(6 ≤ x ≤ 12) = p2 - p1 is the easiest manner.

The easiest way to calculate this probability is by using a statistical software or calculator with a built-in function for the binomial distribution.

To evaluate the probability p(6 ≤ x ≤ 12) for a binomial random variable with n = 25 and p = 0.4, we can use the cumulative distribution function (CDF) of the binomial distribution.

The easiest way to calculate this probability is by utilizing a statistical software or a calculator with a binomial distribution function. However, if you prefer a manual calculation, we can approximate the probability using the normal approximation to the binomial distribution.

Calculate the mean and standard deviation of the binomial distribution:

μ = n× p

= 25 × 0.4

= 10

σ =

=

≈ 2.236

To apply the normal approximation, we need to standardize the range 6 ≤ x ≤ 12 by converting it to the corresponding range in a standard normal distribution:

z1 = (6 - μ) / σ

z2 = (12 - μ) / σ

Look up the corresponding probabilities associated with the standardized values from a standard normal distribution table or use a calculator. For z1 and z2, you will find the probabilities p1 and p2, respectively.

The desired probability p(6 ≤ x ≤ 12) can be approximated by taking the difference between p1 and p2: p(6 ≤ x ≤ 12) ≈ p2 - p1

Therefore, the desired probability p(6 ≤ x ≤ 12) can be approximated by taking the difference between p1 and p2: p(6 ≤ x ≤ 12) ≈ p2 - p1

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Answer:

The correct answer is y = | x + 6 |

Answer:

152*10^6

Step-by-step explanation:

Answer:

Step-by-step explanation:

There are no results for ADD YOUR ANSWERQuestion16 Four biased coins, A, B, C and D are thrown.The probability that each coin will land on Heads is shown in the table.CoinProbabilityA0.33B0.0331С3D30%i) which coin is least likely to land on Heads?ii) Which coin is most likely to land on Heads?Julie says ,"The probability that coin C will land on Heads is the same as the probability that coin C will land on Tails."b) Is she correct?Give a reason for your answer.Coin B is going to be thrown 4000 timesc) work out an estimate for the number of times coin B will land on Heads.and also please give me step by step thanks x​

Check your spelling or try different keywords

Answer:

Step-by-step explanation:

Negative four is at least six less than a number

Sum of a negative two & nine times a number is less than seventy nine

Combined inequality:

Spherical harmonics are an integral part of quantum mechanics. They describe the shape of the orbitals, which electrons occupy in atoms. Moreover, the spherical harmonics provide the angular distribution of a wave in spherical coordinates. In 3D, the spherical harmonics can be written as:

Ylm(θ, φ) = √(2l + 1)/(4π) * √[(l - m)!/(l + m)!] * Plm(cosθ) * e^(imφ)

Here, l and m are known as the angular quantum numbers. They define the shape and orientation of the orbital. Plm(cosθ) represents the associated Legendre polynomial, and e^(imφ) is the exponential function. The spherical harmonics have various forms, including:

Y1,1 = -Y1,-1 = 1/2 √(3/2π) sinθe^(iφ)

Y1,0 = 1/2 √(3/π)cosθ

Y2,2 = 1/4 √(15/2π)sin²θe^(2iφ)

Y2,1 = -Y2,-1 = 1/2 √(15/2π)sinθcosφ

Y2,0 = 1/4 √(5/π)(3cos²θ-1)

Y0,0 = 1/√(4π)

The spherical harmonics have various applications in physics, including quantum mechanics, electrodynamics, and acoustics. They play a crucial role in understanding the symmetry of various systems. Hence, the spherical harmonics are an essential mathematical tool in modern physics. Thus, this is how one can show another form for spherical harmonics.

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Answer:

3^x+12x-4

Step-by-step explanation:

(f+g)(x) = f(x) + g(x) = 3^x + 10x + 2x - 4 = 3^x + 12x - 4

The equation of the parabola is y = 2(x - 1)² + 3

From the question, we have the following parameters that can be used in our computation:

Vertex = (1. 3)

Point = (2, 5)

These parameters can be expressed as

(h, k) = (1, 3)

(x, y) = (2. 5)

A parabola can be represented as

y = a(x - h)² + k

Substitute the known values in the above equation, so, we have the following representation

y = a(x - 1)² + 3

Next, we have

5 = a(2 - 1)² + 3

Evaluate the difference and the exponent

5 = a + 3

So, we have

a = 2

Substitute a = 2 in y = a(x - 1)² + 3

y = 2(x - 1)² + 3

Hence, the equation is y = 2(x - 1)² + 3

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